Run
52104

Run 52104

Task 1720 (Learning Curve) car Uploaded 07-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I10
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9999 ± 0.0001
Per class
Build CPU time
25.4526
Build memory
1522179026.4
F measure
0.9937 ± 0.0063
Per class
Kappa
0.9861 ± 0.0138
KB relative information score
0.9595 ± 0.0108
Mean absolute error
0.0134 ± 0.003
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9938 ± 0.006
Per class
Predictive accuracy
0.9936 ± 0.0064
Prior entropy
1.2058 ± 0.0093
Recall
0.9936 ± 0.0064
Per class
Relative absolute error
0.0586 ± 0.0129
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.0607 ± 0.0124
Root relative squared error
0.1795 ± 0.0368
SciMark benchmark
1651.8608